TypeError: bad operand type for unary ~: float

Question

df = df[~df["column"].str.contains("Total")]

TypeError: bad operand type for unary ~: 'float'

Why does .str.contains() return a float? What should I be doing here?

Asked By: fredley

||

Source

Answer 1

I think there are NaNs values, so need specify parameter na:

df = pd.DataFrame({
    'column': ['Total','a',np.nan],
    'B': list(range(3))
})
print (df)
  column  B
0  Total  0
1      a  1
2    NaN  2

df = df[~df["column"].str.contains("Total", na=False)]
print (df)
  column  B
1      a  1
2    NaN  2

Answered By: jezrael

Answer 2

In this type, we will see that we have some column values that are nan or empty so we were not able to do this. Hence, when you applied the code as here given below it, will work.

df_pcc_mod = df_pcc_mod[~df_pcc_mod['Invoice'].str.contains('Reversed',na=False)]

Answered By: aryan aryan

TypeError: bad operand type for unary ~: float

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